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Exhaled volatile organic compounds for asthma control classification in children with moderate to severe asthma: Results from the SysPharmPediA Study

Exhaled volatile organic compounds for asthma control classification in children with moderate to severe asthma: Results from the SysPharmPediA Study
Exhaled volatile organic compounds for asthma control classification in children with moderate to severe asthma: Results from the SysPharmPediA Study

Rationale: the early identification of children with poorly controlled asthma is imperative for optimizing treatment strategies. The analysis of exhaled volatile organic compounds (VOCs) is an emerging approach to identify prognostic and diagnostic biomarkers in pediatric asthma. 

Objectives: to assess the accuracy of gas chromatography-mass spectrometry-based exhaled metabolite analysis to differentiate between controlled and uncontrolled pediatric asthma. 

Methods: this study encompassed discovery (SysPharmPediA [Systems Pharmacology Approach to Uncontrolled Paediatric Asthma]) and validation (U-BIOPRED [Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes] and PANDA [Paediatric-Asthma-Non-Invasive-Diagnostic-Approaches]) phases. First, exhaled VOCs that discriminated degrees of asthma control were identified. Subsequently, outcomes were validated in two independent cohorts. Patients were classified as controlled or uncontrolled on the basis of asthma control test scores and the number of severe attacks in the past year. In addition, the potential of VOCs to predict two or more future severe asthma attacks in SysPharmPediA was evaluated. 

Measurements and main results: complete data were available for 196 children (SysPharmPediA, n = 100; U-BIOPRED, n = 49; PANDA, n = 47). In SysPharmPediA, after randomly splitting the population into training (n = 51) and test (n = 49) sets, three compounds (acetophenone, ethylbenzene, and styrene) distinguished between patients with uncontrolled and controlled asthma. The areas under the receiver operating characteristic curves (AUROCCs) for training and test sets were, respectively, 0.83 (95% confidence interval [CI], 0.65-1.00) and 0.77 (95% CI, 0.58-0.96). Combinations of these VOCs resulted in AUROCCs of 0.74 ± 0.06 (U-BIOPRED) and 0.68 ± 0.05 (PANDA). Attack prediction tests resulted in AUROCCs of 0.71 (95% CI, 0.51-0.91) and 0.71 (95% CI, 0.52-0.90) for the training and test sets. 

Conclusions: exhaled metabolite analysis might enable asthma control classification in children. This should stimulate the further development of exhaled metabolite-based point-of-care tests in asthma.

gas chromatography-mass spectrometry, volatile organic compounds, biomarkers, asthma, breath tests
1073-449X
1091-1100
Shahbazi Khamas, Shahriyar
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Van Dijk, Yoni
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Abdel-Aziz, Mahmoud I.
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Neerincx, Anne H.
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Blankestijn, Jelle
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Vijverberg, Susanne J.H.
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Hashimoto, Simone
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Bush, Andrew
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Kraneveld, Aletta D.
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Hedman, Anna M.
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Toncheva, Antoaneta A.
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Almqvist, Catarina
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Wolff, Christine
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Murray, Clare S.
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Hedlin, Gunilla
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Roberts, Graham
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Adcock, Ian M.
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Korta-Murua, Javier
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Bønnelykke, Klaus
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Fleming, Louise J.
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Pino-Yanes, Maria
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Gorenjak, Mario
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Kabesch, Michael
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Sardón-Prado, Olaia
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Montuschi, Paolo
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Singer, Florian
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Corcuera-Elosegui, Paula
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Fowler, Stephen J
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Brandstetter, Susanne
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Harner, Susanne
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Dahlén, Sven-Erik
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Potočnik, Uroš
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Frey, Urs
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van Aalderen, Wim
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Brinkman, Paul
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Maitland-van der Zee, Anke H.
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et al.
Shahbazi Khamas, Shahriyar
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Van Dijk, Yoni
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Abdel-Aziz, Mahmoud I.
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Neerincx, Anne H.
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Blankestijn, Jelle
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Vijverberg, Susanne J.H.
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Hashimoto, Simone
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Bush, Andrew
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Kraneveld, Aletta D.
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Hedman, Anna M.
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Toncheva, Antoaneta A.
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Almqvist, Catarina
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Wolff, Christine
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Murray, Clare S.
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Hedlin, Gunilla
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Roberts, Graham
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Adcock, Ian M.
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Korta-Murua, Javier
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Bønnelykke, Klaus
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Fleming, Louise J.
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Kabesch, Michael
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Sardón-Prado, Olaia
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Montuschi, Paolo
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Singer, Florian
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Corcuera-Elosegui, Paula
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Fowler, Stephen J
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Brandstetter, Susanne
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Harner, Susanne
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Dahlén, Sven-Erik
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Potočnik, Uroš
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Frey, Urs
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van Aalderen, Wim
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Brinkman, Paul
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Maitland-van der Zee, Anke H.
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Shahbazi Khamas, Shahriyar, Van Dijk, Yoni and Abdel-Aziz, Mahmoud I. , et al. (2024) Exhaled volatile organic compounds for asthma control classification in children with moderate to severe asthma: Results from the SysPharmPediA Study. American Journal of Respiratory and Critical Care Medicine, 210 (9), 1091-1100. (doi:10.1164/rccm.202312-2270OC).

Record type: Article

Abstract

Rationale: the early identification of children with poorly controlled asthma is imperative for optimizing treatment strategies. The analysis of exhaled volatile organic compounds (VOCs) is an emerging approach to identify prognostic and diagnostic biomarkers in pediatric asthma. 

Objectives: to assess the accuracy of gas chromatography-mass spectrometry-based exhaled metabolite analysis to differentiate between controlled and uncontrolled pediatric asthma. 

Methods: this study encompassed discovery (SysPharmPediA [Systems Pharmacology Approach to Uncontrolled Paediatric Asthma]) and validation (U-BIOPRED [Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes] and PANDA [Paediatric-Asthma-Non-Invasive-Diagnostic-Approaches]) phases. First, exhaled VOCs that discriminated degrees of asthma control were identified. Subsequently, outcomes were validated in two independent cohorts. Patients were classified as controlled or uncontrolled on the basis of asthma control test scores and the number of severe attacks in the past year. In addition, the potential of VOCs to predict two or more future severe asthma attacks in SysPharmPediA was evaluated. 

Measurements and main results: complete data were available for 196 children (SysPharmPediA, n = 100; U-BIOPRED, n = 49; PANDA, n = 47). In SysPharmPediA, after randomly splitting the population into training (n = 51) and test (n = 49) sets, three compounds (acetophenone, ethylbenzene, and styrene) distinguished between patients with uncontrolled and controlled asthma. The areas under the receiver operating characteristic curves (AUROCCs) for training and test sets were, respectively, 0.83 (95% confidence interval [CI], 0.65-1.00) and 0.77 (95% CI, 0.58-0.96). Combinations of these VOCs resulted in AUROCCs of 0.74 ± 0.06 (U-BIOPRED) and 0.68 ± 0.05 (PANDA). Attack prediction tests resulted in AUROCCs of 0.71 (95% CI, 0.51-0.91) and 0.71 (95% CI, 0.52-0.90) for the training and test sets. 

Conclusions: exhaled metabolite analysis might enable asthma control classification in children. This should stimulate the further development of exhaled metabolite-based point-of-care tests in asthma.

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Exhaled VOCs for asthma control classification - Accepted Manuscript
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Accepted/In Press date: 19 April 2024
e-pub ahead of print date: 22 April 2024
Published date: 1 November 2024
Keywords: gas chromatography-mass spectrometry, volatile organic compounds, biomarkers, asthma, breath tests

Identifiers

Local EPrints ID: 509170
URI: http://eprints.soton.ac.uk/id/eprint/509170
ISSN: 1073-449X
PURE UUID: 8c11e255-6cc5-4cb5-907d-6d0932a73a15
ORCID for Graham Roberts: ORCID iD orcid.org/0000-0003-2252-1248

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Date deposited: 11 Feb 2026 18:10
Last modified: 12 Feb 2026 02:43

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Contributors

Author: Shahriyar Shahbazi Khamas
Author: Yoni Van Dijk
Author: Mahmoud I. Abdel-Aziz
Author: Anne H. Neerincx
Author: Jelle Blankestijn
Author: Susanne J.H. Vijverberg
Author: Simone Hashimoto
Author: Andrew Bush
Author: Aletta D. Kraneveld
Author: Anna M. Hedman
Author: Antoaneta A. Toncheva
Author: Catarina Almqvist
Author: Christine Wolff
Author: Clare S. Murray
Author: Gunilla Hedlin
Author: Graham Roberts ORCID iD
Author: Ian M. Adcock
Author: Javier Korta-Murua
Author: Klaus Bønnelykke
Author: Louise J. Fleming
Author: Maria Pino-Yanes
Author: Mario Gorenjak
Author: Michael Kabesch
Author: Olaia Sardón-Prado
Author: Paolo Montuschi
Author: Florian Singer
Author: Paula Corcuera-Elosegui
Author: Stephen J Fowler
Author: Susanne Brandstetter
Author: Susanne Harner
Author: Sven-Erik Dahlén
Author: Uroš Potočnik
Author: Urs Frey
Author: Wim van Aalderen
Author: Paul Brinkman
Author: Anke H. Maitland-van der Zee
Corporate Author: et al.

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